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Are there predictive models or novel techniques such as interferometry that allow us to make better guesses where minerals and other natural resources might be located?

I've been hearing about startups driving around trying to detect gravitational distortions, or using satellite data. Are we getting better at this? Is there a lot of opportunity in the space for new methods and approaches?



I guess LLM will be amazing with proper training from scratch since they are amazing with paterns and discovering paterns


A variant of stable diffusion maybe. Not large language models.


Aren't LLMs and stable diffusion both generators? The are designed to generate a complex response to a simple prompt.

If you want to identify potential natural resource deposits, that's good old data science with some machine learning. You feed them a bunch of data and out comes a simple map with probabilities.

I suspect the relevant mining companies already have analysts who are doing everything they can to find deposits. No need for revolutionary startups.




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